The graph represents a network of 647 Twitter users whose tweets in the requested range contained "hcmktg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 03:26 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 82-day, 21-hour, 9-minute period from Saturday, 01 August 2020 at 00:13 UTC to Thursday, 22 October 2020 at 21:22 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 647
Unique Edges : 684
Edges With Duplicates : 2479
Total Edges : 3163
Number of Edge Types : 5
Mentions : 677
Retweet : 519
MentionsInRetweet : 896
Replies to : 7
Tweet : 1064
Self-Loops : 1072
Reciprocated Vertex Pair Ratio : 0.0909090909090909
Reciprocated Edge Ratio : 0.166666666666667
Connected Components : 54
Single-Vertex Connected Components : 27
Maximum Vertices in a Connected Component : 437
Maximum Edges in a Connected Component : 2231
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 3.873695
Graph Density : 0.002526545475426
Modularity : 0.267937
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 647 Twitter users whose tweets in the requested range contained "hcmktg", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 03:26 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 82-day, 21-hour, 9-minute period from Saturday, 01 August 2020 at 00:13 UTC to Thursday, 22 October 2020 at 21:22 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : hcmktg
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[294] #hcmktg,#quantihealth [293] top,story [292] #quantihealth,top [207] see,more [175] #hcmktg,#hcsm [145] healthcare,marketing [109] daily,news [101] marketing,matters [101] read,more [83] #hcsm,#healthit Top Word Pairs in Tweet in G1:
[102] healthcare,marketing [101] marketing,matters [59] #hcmktg,#hcsm [49] #hcmktg,#hospitals [48] #strategy,#experience [47] #experience,#engagement [40] #touchpoint,podcast [39] hey,siri [39] siri,alexa [39] alexa,think Top Word Pairs in Tweet in G2:
[21] #hcmktg,pros [21] #hcmktg,#hcldr [18] covid,19 [17] healthcare,marketing [13] #hcmktg,#healthcaremarketing [10] healthcare,insight [9] health,systems [8] virtual,conference [8] annual,conference [7] danfell,dbrowell Top Word Pairs in Tweet in G3:
[292] #hcmktg,#quantihealth [292] #quantihealth,top [292] top,story [206] see,more [108] daily,news [94] read,more [83] #hcmktg,#hcsm [83] #hcsm,#healthit [83] #healthit,#meded [83] #meded,#patient Top Word Pairs in Tweet in G4:
[20] register,#hcmktg [19] learn,more [16] greymatters,#hcmktg [13] exhibit,hall [12] industry,news [12] news,greymatters [11] virtual,conference [10] hcic,home [10] more,register [10] #thecontactexperience,conference Top Word Pairs in Tweet in G5:
[8] #hcmktg,#hcsm [6] looking,forward [6] creative,juices [6] juices,flowing [6] flowing,bring [6] bring,fresh [6] fresh,ideas [6] ideas,next [6] next,#healthcare [6] #healthcare,#marketing Top Word Pairs in Tweet in G6:
[18] resilience,journey [17] #hcmktg,#hitmc [7] blast,interview [7] interview,jesscolumbo [7] jesscolumbo,resilience [7] journey,many [7] many,fresh [7] fresh,tips [7] tips,share [7] share,especially Top Word Pairs in Tweet in G7:
[6] insight,cco [6] cco,humana [6] humana,hcmktg [6] hcmktg,kern_health [4] responsible,marketing [4] marketing,age [4] age,pandemics [4] pandemics,presidential [4] presidential,elections [4] elections,lt Top Word Pairs in Tweet in G8:
[22] #hcmktg,#healthcaremarketing [8] digital,marketing [7] build,case [6] case,increasing [6] increasing,digital [6] marketing,budget [6] budget,2021 [6] 2021,webinar [6] learn,more [4] thurs,10 Top Word Pairs in Tweet in G9:
[27] #hcmktg,#hitmc [26] without,right [26] right,tech [26] tech,delivering [26] delivering,content [26] content,matter [26] matter,#digitalhealth [26] #digitalhealth,#hcmktg [26] #hitmc,#hitsm [25] super,bloggers Top Word Pairs in Tweet in G10:
[10] #hitmc,webinar [7] first,#hitmc [5] permanent,pivot [5] #hitmc,#hcmktg [4] looking,forward [4] join,week [4] week,first [4] webinar,event [4] event,know [4] know,ryelilly Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: